| Literature DB >> 32716189 |
Kai Guther1, Robert J Anderson2, Nick S Blunt3, Nikolay A Bogdanov1, Deidre Cleland4, Nike Dattani5, Werner Dobrautz1, Khaldoon Ghanem1, Peter Jeszenszki6, Niklas Liebermann1, Giovanni Li Manni1, Alexander Y Lozovoi1, Hongjun Luo1, Dongxia Ma1, Florian Merz7, Catherine Overy3, Markus Rampp8, Pradipta Kumar Samanta1, Lauretta R Schwarz1, James J Shepherd9, Simon D Smart3, Eugenio Vitale1, Oskar Weser1, George H Booth2, Ali Alavi1.
Abstract
We present NECI, a state-of-the-art implementation of the Full Configuration Interaction Quantum Monte Carlo (FCIQMC) algorithm, a method based on a stochastic application of the Hamiltonian matrix on a sparse sampling of the wave function. The program utilizes a very powerful parallelization and scales efficiently to more than 24 000 central processing unit cores. In this paper, we describe the core functionalities of NECI and its recent developments. This includes the capabilities to calculate ground and excited state energies, properties via the one- and two-body reduced density matrices, as well as spectral and Green's functions for ab initio and model systems. A number of enhancements of the bare FCIQMC algorithm are available within NECI, allowing us to use a partially deterministic formulation of the algorithm, working in a spin-adapted basis or supporting transcorrelated Hamiltonians. NECI supports the FCIDUMP file format for integrals, supplying a convenient interface to numerous quantum chemistry programs, and it is licensed under GPL-3.0.Year: 2020 PMID: 32716189 DOI: 10.1063/5.0005754
Source DB: PubMed Journal: J Chem Phys ISSN: 0021-9606 Impact factor: 3.488